No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by soulknight666 · MCP Server · ★ 7
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is telegram-account-orchestrator safe to install? View the security audit →
Self-hosted Telegram multi-account management with Web UI, CLI, Bot, MCP, Telethon, and Telegram Desktop tdata import.
| Stars | 7 |
| Forks | 0 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 49.3127742163635/100 |
| Last Updated | 2026-08-21 |
| Created | 2026-08-02 |
| Platforms | browser, cli, mcp, python |
| Est. Tokens | ~13k |
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telegram-account-orchestrator is Self-hosted Telegram multi-account management with Web UI, CLI, Bot, MCP, Telethon, and Telegram Desktop tdata import.. It is categorized as a MCP Server with 7 GitHub stars.
telegram-account-orchestrator is primarily written in Python. It covers topics such as account-orchestration, fastapi, mcp.
You can find installation instructions and usage details in the telegram-account-orchestrator GitHub repository at github.com/soulknight666/telegram-account-orchestrator. The project has 7 stars and 0 forks, indicating an active community.
telegram-account-orchestrator is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to telegram-account-orchestrator on Agent Skills Hub include OmoiOS, chibi, ciana-parrot. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: